Quantitative Researcher

Weekday AI (YC W21); Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology consulting firm in Singapore is looking for a Mid-Senior level Risk Analyst to design quantitative models and perform risk analysis. Candidates should possess a Master’s or Ph.D. in a quantitative field and have solid experience with Python, R, or MATLAB. This role involves data analysis and collaboration with cross-functional teams to enhance risk management strategies.

Qualifications

• 5+ years of experience in quantitative analysis or risk management.
• Strong problem-solving abilities with attention to delivering high-quality research.
• Excellent written and verbal communication skills.

Responsibilities

• Design and implement quantitative models for financial risk evaluation.
• Perform risk assessments and develop mitigation strategies.
• Apply statistical methods and machine learning to analyze large datasets.
• Partner with teams to integrate risk management solutions.
• Create and maintain risk reports and dashboards.

Skills

Machine Learning

Data Analysis

Statistical Modeling

Financial Instruments

Derivatives

Risk Management Framework

Education

Master's or Ph.D. in Mathematics, Statistics, Finance, or a related quantitative field

Tools

Python

R

MATLAB

Job description

Overview

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• Min Experience: 5 years
• Location: Singapore
• JobType: full-time

Responsibilities

• Model Development: Design and implement quantitative models to evaluate and manage financial risks, including market, credit, and operational risks.
• Risk Analysis: Perform thorough risk assessments and scenario analyses to identify potential vulnerabilities and develop mitigation strategies.
• Data Analysis: Apply advanced statistical methods and machine learning algorithms to analyze large datasets and extract actionable insights.
• Collaboration: Partner with traders, product managers, and research teams to integrate risk management solutions into trading strategies.
• Reporting: Create and maintain risk reports and dashboards to communicate risk exposures and performance metrics to stakeholders.

Qualifications

• Education: Master\'s or Ph.D. in Mathematics, Statistics, Finance, or a related quantitative field.
• Technical Proficiency:
• Strong experience with Python, R, or MATLAB.
• Expertise in statistical modeling, machine learning, and data analysis.
• Familiarity with financial instruments, derivatives, and risk management frameworks.
• Analytical Skills: Strong problem-solving abilities with attention to delivering high-quality research and actionable insights.
• Communication: Excellent written and verbal communication skills with a collaborative approach and strong attention to detail.
• Adaptability: Comfortable working in a fast-paced, agile environment and able to adjust to shifting priorities.

Skills

• Machine Learning
• Data Analysis
• Statistical Modeling
• Financial Instruments
• Derivatives
• Risk Management Framework

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting

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